Since its creation, many financial institutions have adopted variants of the autoregressive conditional heteroskedasticity (ARCH) model to forecast time series volatility. Most of these models ...

It explores monthly maize prices across 28 markets over 2004–13. The model assumes that market remoteness implies higher transport costs, which fuel price volatility. An autoregressive conditional ...